Google I/O showed how the path for AI-driven science is shifting
- May 24
- 1 min read
MIT TECHNOLOGY REVIEW — The juxtaposition of Hassabis’ lofty rhetoric with the real-world results of WeatherNext highlighted the tension between two very different approaches to AI for science.
The first focuses on AI tools, like WeatherNext, that are designed and trained to solve specific scientific problems. The second is agentic, LLM-based systems that could one day execute cutting-edge research projects without human involvement.
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